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19th IEEE International Conference on Tools with Artificial Intelligence - Vol.1 (ICTAI 2007)
Knowledge Discovery Scientific Workflows in Clinico-Genomics
Paris, France
October 29-October 31
ISBN: 0-7695-3015-X
ASCII Text
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George Potamias, Lefteris Koumakis, Alexandros Kanterakis, Stelios Sfakianakis, Anastasia Analyti, Vassilis Moustakis, Dimitris Kafetzopoulos, Stefan Rueping, Manolis Tsiknakis, "Knowledge Discovery Scientific Workflows in Clinico-Genomics," Tools with Artificial Intelligence, IEEE International Conference on, vol. 1, pp. 91-95, 19th IEEE International Conference on Tools with Artificial Intelligence - Vol.1 (ICTAI 2007), 2007.
 
 
BibTex
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@article{ 10.1109/ICTAI.2007.32,
author = {George Potamias and Lefteris Koumakis and Alexandros Kanterakis and Stelios Sfakianakis and Anastasia Analyti and Vassilis Moustakis and Dimitris Kafetzopoulos and Stefan Rueping and Manolis Tsiknakis},
title = {Knowledge Discovery Scientific Workflows in Clinico-Genomics},
journal ={Tools with Artificial Intelligence, IEEE International Conference on},
volume = {1},
year = {2007},
issn = {1082-3409},
pages = {91-95},
doi = {http://doi.ieeecomputersociety.org/10.1109/ICTAI.2007.32},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Tools with Artificial Intelligence, IEEE International Conference on
TI - Knowledge Discovery Scientific Workflows in Clinico-Genomics
SN - 1082-3409
SP91
EP95
A1 - George Potamias,
A1 - Lefteris Koumakis,
A1 - Alexandros Kanterakis,
A1 - Stelios Sfakianakis,
A1 - Anastasia Analyti,
A1 - Vassilis Moustakis,
A1 - Dimitris Kafetzopoulos,
A1 - Stefan Rueping,
A1 - Manolis Tsiknakis,
PY - 2007
VL - 1
JA - Tools with Artificial Intelligence, IEEE International Conference on
ER -
 
With the completion of the human genome and the entrance into the post-genomic era, translational research rises as a major need. In this paper, we present a Knowledge Discovery workflow (KDw) and its utilization in the context of clinico-genomic trials. KDw aims towards the discovery of `evidential' correlations between patients' genomic and clinical profiles. Application of KDw on a real-world clinico- genomic (breast cancer) study demonstrates the reliability, efficacy, and efficiency of the approach.
Citation:
George Potamias, Lefteris Koumakis, Alexandros Kanterakis, Stelios Sfakianakis, Anastasia Analyti, Vassilis Moustakis, Dimitris Kafetzopoulos, Stefan Rueping, Manolis Tsiknakis, "Knowledge Discovery Scientific Workflows in Clinico-Genomics," ictai, vol. 1, pp.91-95, 19th IEEE International Conference on Tools with Artificial Intelligence - Vol.1 (ICTAI 2007), 2007
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